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Learning AI

A structured learning repository for mastering AI/ML concepts and applications.

Goal

Develop deep expertise in AI/ML (5-6 month roadmap) with focus on:

  • Deep learning fundamentals
  • Physics-informed machine learning
  • Applications to propulsion systems and engineering

Structure

learning-ai/
├── notebooks/       # Jupyter notebooks for exploration
├── scripts/         # Python scripts and experiments
├── data/           # Datasets (gitignored)
├── models/         # Trained models (gitignored)
└── notes/          # Learning notes and reflections

How to Use

  1. Set up virtual environment: python -m venv venv && source venv/Scripts/activate (Windows)
  2. Install dependencies as needed
  3. Work through notebooks and scripts

Created as part of comprehensive AI learning journey.

About

AI/ML learning journey - deep learning, physics-informed ML, applications

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